i.e. annealing, credit, liver, pima, soybean, wine and zoo. RemoveOnly obtains the best performance on three data sets, i.e. glass, hayesroth and wine. It is surprising that Depuration obtains the best performance on only one data set, i.e. iris, as RelabelOnly does. These observations indicate that NNEE is a

an epoch refers to finding and fixing the weight of a single node. We also tried the randomized search algorithm for a few real-world machine learning problems: lenses, HayesRoth and the iris datasets [19]. The lenses data set is a data set that tries to predict whether people will need soft contact lenses, hard contact lenses or no contacts. The iris dataset details features of three different

The five selected datasets were: echocardiogram, hayesroth heart, horse-colic,andiris datasets. These datasets (marked in Table 7.1 with a * symbol beside their name) contain a sampling of attribute types and domains. For

used in Figures 5 and 4 The data set in the UCI repository for the HayesRoth target function described above is incomplete in that it contains instances for only some of the possible descriptions, contains duplications, and contains

monk1, monk2, and monk3; and pseudo-artificial datasets: tic-tac-toe, and chess. Hayesroth and glass2 also have large differences probably because they have many strongly relevant features and few weakly relevant features (John, Kohavi, & Pfleger